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ECON 255 - Introduction to Econometrics


Semester Offered: First Semester, Second Semester
Full Course
Credits: 4 credits
Attribute: 4SS, QFR

This is an introduction to the application of statistical methods to the estimation of economic models and the testing of economic hypotheses using non-experimental data. The central statistical tool is multivariate regression analysis. Topics covered include: the Gauss-Markov theorem, testing hypotheses, and correcting for heteroskedasticity, autocorrelation and simultaneous equation bias. In the weekly computer lab sessions econometric software is used to analyze real-world data.
Enrollment Limit: 24
Instructor: B. Craig, Staff
Prerequisites & Notes
Prerequisites: STAT 113, MATH 133, both ECON 251 and ECON 253, or consent of instructor.

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